How to Stop Mobile Banking Fraud with App Security and Risk-Based Authentication

Presented by

Greg Hancell & Sam Bakken OneSpan

About this talk

As mobile banking use surges worldwide in response to COVID-19 and its associated lock-downs, a corresponding rise in mobile banking fraud continue to increase in prevalence and sophistication. The December 2020 discovery of an “evil emulator farm” made clear that mobile fraudsters can now automate their processes. As a result, they are able to easily harvest mobile device identifiers, spoof GPS locations, and intercept SMS messages to bypass static multi-factor authentication. Achieving unforeseen levels of scale and speed of operation, these cybercriminals successfully emulate unsuspecting users’ mobile devices and drain millions from online bank accounts in record time. By modernising their authentication framework to include secure provisioning and secure channel communication, client- and server-side risk analysis, and continuous session monitoring with risk assessment for strategic planning (RASP) and machine learning (ML), financial institutions can stay one step ahead of attacks. In this webinar, OneSpan’s mobile fraud experts Sam Bakken and Greg Hancell will explore approaches to eliminate the impact of increasingly sophisticated fraud threats and share strategies to protect mobile device users by deploying advanced app security to prevent emulation. Topics include: - Strong customer authentication; - Client and server-side risk analysis for fraud prevention; - Mobile app shielding with runtime protection. Speakers - Greg Hancell, Manager, Fraud Consulting, OneSpan - Samuel Bakken, Senior Product Marketing Manager, OneSpan
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At OneSpan, we specialize in digital identity and anti-fraud solutions that create exceptional and secure experiences. From risk-based adaptive authentication to digital identity verification, our next generation solutions are delivered on a cloud-based platform. The OneSpan Trusted Identity Platform makes it easy to integrate new and existing tools and technologies, to better detect fraud and improve the user experience.